Nitin Yadav is a Postdoctoral Fellow in experimental finance. His work involves the study of the complexity of decision making and the application of techniques from computer science and artificial intelligence to problems in Finance.
Together with Peter Bossaerts, Nitin introduced the subject Algorithm Trading. The aim of this subject is to make undergraduate students familiar with the concepts and technologies used for algorithmic trading, allowing them to develop the skills to conceive robot traders themselves and test them through participation in experimental online markets.
Nitin’s other research interests lie in the areas of service composition, intelligent agent systems, and use of formal techniques for testing agent designs.
Nitin obtained his Ph.D. in Computer Science from RMIT University in 2014 and worked as a research fellow in the agents group before joining The University of Melbourne. He also holds a Bachelor's degree in Medicine and Surgery, a Master's degree in Computer Science with a specialization in artificial intelligence, and a Master's degree in Finance.